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CIE 9231 2023 June Paper 42 Q3

A Level / CIE / FS

CIE 9231 2023 June Paper 42 Paper · Question 3

题目

Problem

A random sample of 50 values of the continuous random variable XX was taken. These values are summarised in the following table.

Interval1≤x<1.51 \leq x < 1.51.5≤x<21.5 \leq x < 22≤x<2.52 \leq x < 2.52.5≤x<32.5 \leq x < 33≤x<3.53 \leq x < 3.53.5≤x≤43.5 \leq x \leq 4
Observed frequency338111312

It is required to test the goodness of fit of the distribution with probability density function f given by

f(x)={124(4x2+x2),1≤x≤4,0,otherwise.f(x) = \begin{cases} \dfrac{1}{24}\bigg(\dfrac{4}{x^2} + x^2\bigg), & 1 \leq x \leq 4,\\ 0, & \text{otherwise.} \end{cases}

The expected frequencies, correct to 4 decimal places, are given in the following table.

Interval1≤x<1.51 \leq x < 1.51.5≤x<21.5 \leq x < 22≤x<2.52 \leq x < 2.52.5≤x<32.5 \leq x < 33≤x<3.53 \leq x < 3.53.5≤x≤43.5 \leq x \leq 4
Expected frequency4.4271aa6.12858.4549bb14.9678

(a) Show that a=4.6007a = 4.6007 and find the value of bb.

[3]

(b) Carry out a goodness of fit test, at the 10% significance level, to test whether f is a satisfactory model for the data.

[6]
题目中文翻译

从连续随机变量 XX 中随机抽取 50 个值。这些值汇总在下表中。

区间1≤x<1.51 \leq x < 1.51.5≤x<21.5 \leq x < 22≤x<2.52 \leq x < 2.52.5≤x<32.5 \leq x < 33≤x<3.53 \leq x < 3.53.5≤x≤43.5 \leq x \leq 4
观察频数338111312

现在要检验具有以下概率密度函数 f 的分布的拟合优度:

f(x)={124(4x2+x2),1≤x≤4,0,otherwise.f(x) = \begin{cases} \dfrac{1}{24}\bigg(\dfrac{4}{x^2} + x^2\bigg), & 1 \leq x \leq 4,\\ 0, & \text{otherwise.} \end{cases}

下表给出了期望频数,结果精确到 4 位小数。

区间1≤x<1.51 \leq x < 1.51.5≤x<21.5 \leq x < 22≤x<2.52 \leq x < 2.52.5≤x<32.5 \leq x < 33≤x<3.53 \leq x < 3.53.5≤x≤43.5 \leq x \leq 4
期望频数4.4271aa6.12858.4549bb14.9678

(a) 证明 a=4.6007a = 4.6007,并求 bb 的值。

(3)

(b) 在 10% 显著性水平下进行拟合优度检验,检验 f 是否是该数据的一个令人满意的模型。

(6)
原卷通用作答要求

Answer all questions. You should use a calculator where appropriate.

You must show all necessary working clearly; no marks will be given for unsupported answers from a calculator.

Give non-exact numerical answers correct to 3 significant figures, or 1 decimal place for angles in degrees, unless a different level of accuracy is specified in the question.

请回答所有题目。适当时应使用计算器。必须清楚展示所有必要的计算过程;仅给出计算器答案而没有过程,不予评分。除非题目另有精度要求,非精确数值答案保留 3 位有效数字,以度为单位的角度保留 1 位小数。

解答

(a)

解法一

思路

展开

期望频数等于区间概率乘样本量。对密度求原函数后,在两个缺失区间分别代入端点。

答题过程

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For an interval [u,v][u,v] inside the support, the expected frequency is

5024[−4x+x33]uv.\frac{50}{24}\Big[-\frac4x+\frac{x^3}{3}\Big]_u^v.

Substituting the endpoints gives

a= 5024[(−2+83) −(−83+98)]= 4.600694…≈4.6007,b= 5024[(−87+34324) −(−43+9)]= 11.421130…≈11.4211.\begin{align*} a=&\,\frac{50}{24}\Big[\Big(-2+\frac83\Big)\\ &\,\hspace{2pt}-\Big(-\frac83+\frac98\Big)\Big]\\ =&\,4.600694\ldots\approx4.6007,\\ b=&\,\frac{50}{24}\Big[\Big(-\frac87+\frac{343}{24}\Big)\\ &\,\hspace{2pt}-\Big(-\frac43+9\Big)\Big]\\ =&\,11.421130\ldots\approx11.4211. \end{align*}

Both answers are given to four decimal places.

解法二

思路

展开

先积分算出题目要求证明的 aa,再利用所有期望频数之和为样本量求 bb。

答题过程

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For the second interval,

a= 5024∫1.52(4x2+x2) dx= 1325288=4.600694…≈4.6007.\begin{align*} a=&\,\frac{50}{24}\int_{1.5}^2\Big(\frac4{x^2}+x^2\Big)\,\mathrm{d}x\\ =&\,\frac{1325}{288}=4.600694\ldots\approx4.6007. \end{align*}

The expected frequencies sum to 5050. Using their displayed values,

b≈ 50−(4.4271+4.6007+6.1285 +8.4549+14.9678)= 11.4210.\begin{align*} b\approx&\,50-(4.4271+4.6007+6.1285\\ &\,\hspace{2pt}+8.4549+14.9678)\\ =&\,11.4210. \end{align*}

The slight difference in the last decimal comes from the rounded frequencies; integrating the density gives b=11.4211b=11.4211 to four decimal places.

(b)

解法一

思路

展开

前两个格子的期望频数都低于 55,先合并。密度参数已给定,按合并后的组数计算自由度。

答题过程

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Test H0H_0 that the stated density fits the observations against H1H_1 that it does not. Combining the first two intervals gives observed count 66 and expected count 9.02777…9.02777\ldots. The remaining counts have expected values above 55. The statistic from the five groups is

 χ2=∑(O−E)2E= (6−9.02777…)29.02777…+ (8−6.12847…)26.12847…+⋯= 3.15985….\begin{align*} &\,\chi^2=\sum\frac{(O-E)^2}{E}\\ =&\,\frac{(6-9.02777\ldots)^2}{9.02777\ldots}\\ +&\,\frac{(8-6.12847\ldots)^2}{6.12847\ldots}+\cdots\\ =&\,3.15985\ldots. \end{align*}

There are 5−1=45-1=4 degrees of freedom. The upper 10%10\% critical value is 7.7797.779. Since the statistic is smaller, we fail to reject H0H_0. There is insufficient evidence at the 10%10\% level that the stated density fails to fit the observations.